4 ms·

Python's package management is OK. The main culprit is .so libraries Think JNI or cgo management.

• t43562 1y ago
  Yes, I've never really understood the complaint about python packaging - building native code is not something that is ever easy to guarantee across multiple distributions and operating systems. Those native packages can be in any language and require any odd combination of tools to build. Who has truly solved that problem?
  • nikisweeting 1y ago
    wheels, conda, docker, firecracker, unikernel, flatpak
    • t43562 1y ago
      flatpak, docker ? i.e. include an almost complete distribution just to make one package work? but what if you want that package to work in the distribution you have now? What if you need 2 different packages that are in different flatpacks or different docker images?
      • staunton 1y ago
        Set them up, each in its own container, and use GRPC to communicate between them... (Not even kidding, I've seen people do this)
        • t43562 1y ago
          Goodness gracious!
          • staunton 1y ago
            Well, if you're using GRPC anyway, and have the protocol buffers already... It's hard to resist the temptation after a few hours of installing broken package versions. Incidentally, I suspect this is the spiritual origin of microservoces...
      • nikisweeting 1y ago
        obviously don't try those first I'm just saying there's a stack of options to work with for any level of isolation you desire. start with wheels if you just want pre-built binaries, move up to conda if you need arch and OS-specific C libs that depend on system packages, flatpack or docker if you dont want those to mess up your host, or unikernel/firecracker/VMs if you need kernel modules or hardware virtualization.
  • Orygin 1y ago
    If you don't need to link C lib, you can build any combination of arch and OS for a golang program. The default tooling allows you to do so easily. If you need to link a C lib, there are ways to set it up to compile other OS (and maybe other archs).
    • est 1y ago
      take numpy as an example, it's gfortran mixed with C. How does cgo handle that? And there's ffmpeg....
      • Orygin 1y ago
        If you got object files you can compile whatever if you have the compiler toolset. I have made a go program that links ffmpeg and is built from linux to Windows and Macos. It was not super easy but it's doable.
• RamblingCTO 1y ago
  I'll throw in BLAS and LAPACK. Fuck, what a nightmare it always has been to get scipy running. I've always ended up with a wild mix of conda and pip installed shit that just wouldn't work.
  • cindyllm 1y ago
    [dead]
  • zahlman 1y ago
    Really? `pip install scipy` in a new environment just works for me. What concrete issues are you encountering?
• blurbleblurble 1y ago
  It is not okay (maybe uv fixes this?)
  • est 1y ago
    pure .py libs can be "vendorized" directly into project.